Evolutionary Computation in Combinatorial Optimization

Peter I. Cowling

ISBN 10: 3642010083 / ISBN 13: 9783642010088

Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2009, 2009

About this Item

Neuware -This book constitutes the refereed proceedings of the 9th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2009, held in Tübingen, Germany, in April 2009. The 21 revised full papers presented were carefully reviewed and selected from 53 submissions. The papers present the latest research and discuss current developments and applications in metaheuristics - a paradigm to effectively solve difficult combinatorial optimization problems appearing in various industrial, economical, and scientific domains. Prominent examples of metaheuristics are evolutionary algorithms, simulated annealing, tabu search, scatter search, memetic algorithms, variable neighborhood search, iterated local search, greedy randomized adaptive search procedures, estimation of distribution algorithms and ant colony optimization.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 268 pp. Englisch.

Seller Inventory # 9783642010088

Bibliographic Details

• Title: Evolutionary Computation in Combinatorial Optimization
• Publisher: Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2009
• Publication Date: 2009
• Language: English
• ISBN 10: 3642010083
• ISBN 13: 9783642010088
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

This book constitutes the refereed proceedings of the 9th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2009, held in Tübingen, Germany, in April 2009. The 21 revised full papers presented were carefully reviewed and selected from 53 submissions. The papers present the latest research and discuss current developments and applications in metaheuristics - a paradigm to effectively solve difficult combinatorial optimization problems appearing in various industrial, economical, and scientific domains. Prominent examples of metaheuristics are evolutionary algorithms, simulated annealing, tabu search, scatter search, memetic algorithms, variable neighborhood search, iterated local search, greedy randomized adaptive search procedures, estimation of distribution algorithms and ant colony optimization.